Adapting, Fast and Slow: On Few-Shot Transportability of Compositions 事件

Adapting, Fast and Slow: On Few-Shot Transportability of Compositions arXiv:2512.22777v2 Announce Type: replace-cross Abstract: Generalization across domains requires stable structure that links the source and target distributions. Building on causal transportability theory, we study a sequential prediction setting in which the target predictor can be represented as a circuit composed of causal mechanisms that are learnable from source data. We introduce two classes of transportability. Module